"VLC media player" matching MCP servers:

Enables MCP-capable AI agents to control a real Minecraft client through JsMacros scripting, screenshots, world markers, and player takeover, while the user watches and can stop or resume control.

The best free social media publishing and scheduling API. Publish to 11 platforms from a single API call. Schedule posts, upload media, track analytics, and automate your social media workflow.

An MCP server that turns any LLM into an escape room player.

A local MCP server that lets AI assistants control a Minecraft player on a local Paper server, enabling movement, block breaking/placing, combat, inventory management, chat, and op-level commands like teleport, gamemode, and summoning.

Exposes Minecraft server commands via RCON as a tool, and optionally powers an in-game AI chat listener that answers player questions using Claude.

Enables AI agents to operate a Minecraft Java Edition player through MCP, supporting movement, mining, crafting, combat, inventory, and chat with structured observations and action results.

An MCP server that lets a model play 0 A.D. as an ordinary player by observing its own units, buildings, scoreboard, resources, and fog-of-war-limited terrain, then issuing native player commands such as movement, training, research, gathering, building, garrisoning, and rally points. It drives the official Pyrogenesis client through an ENet relay and companion mod, while withholding hidden opponent information, raw packets, sync hashes, and scripted commands to keep play fair.

Enables AI agents to control Instagram accounts programmatically, supporting profile management, media interaction, direct messaging, and follower management.

Connects to multiple social media platforms (Twitter/X, Mastodon, LinkedIn), allowing users to create and publish content across platforms through natural language instructions.

Enables an AI agent to control a single Factorio character through normal player mechanics, including job-based walking, mining, crafting, building, and perception within fog-of-war constraints.

Enables an agent to control a dedicated Factorio player through a constrained MCP interface offering typed legal actions and bounded observations, including crafting, waiting, moving, mining, and actor/local observation.

A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.

Enables LLMs to act as a real player on a Factorio Space Age server via scenario/RCON tools, a second real client, background keyboard/mouse input, memory observation, and WebUI control. It supports walking, mining, crafting, building, blueprint placement, and space-platform actions.

Enables an LLM agent to play a persistent idle game over MCP: setting active actions, gathering resources, crafting, trading, training skills, fighting monsters, completing quests, and prestiging. A debug web page exposes the same player state for observation.

Enables MCP-compatible LLMs to interact with any desktop accessible over VNC, providing tools for screen reading (OCR), mouse and keyboard control, and automation.

Enables AI assistants to observe and control a horror-themed Plants vs. Zombies game through local MCP tools for battlefield state, card selection, planting, shovel/glove use, story progression, settings, and player takeover.

Lets AI agents play Game Boy games via PyBoy with efficient button scripts, high-level Pokémon helpers, and automatic benchmark metrics.

Enables an AI agent to inspect and control a real Minecraft Java client through the Model Context Protocol, exposing world data, screenshots, inventories, chat, and normal player actions under the player's permissions.

Enables a real AI agent to connect to the NIGHT_SHIFT.EXE game over a local WebSocket bridge, inspect hidden files and logs, and dispatch game actions so the player and agent can solve puzzles together.

Enables MCP-compatible clients to programmatically control and automate DaVinci Resolve, including reading project/timeline state, building and editing timelines, managing the media pool, applying color operations, and running renders.

Enables AI assistants to remotely control a Minecraft player, including navigation, mining, building, and interaction with the world and other players.

Enables an AI to join a cooperative two-player cat game as Player 2, observing the scene, moving, interacting with objects, pushing crates, and chatting via MCP tools.

This server enables MCP clients to control a real Minecraft Java player client with native first-person gameplay, structured spatial perception, bounded continuous actions, and optional livestream widgets.

Local MCP server that lets AI agents control a Minecraft Forge 1.20.1 NPC to chat, move, gather, craft, build, fight, and manage inventory in a single-player world.

Enables agents to build and run a deterministic theme-park simulation through the same commands the player uses, including terrain shaping, park finances, time advancement, undo/redo, and status queries over stdio or HTTP.

Enables LLMs to run thesis→antithesis→synthesis dialectical reasoning and player-coach autocoding loops for deeper analysis and independently verified code implementation via MCP.

Enables MCP clients to run dialectical reasoning workflows and autocoding loops that force models to argue against themselves before concluding. Provides tools for thesis-antithesis-synthesis analysis and independent player-coach code verification.

Enables dialectical reasoning by forcing models through thesis, antithesis, and synthesis, and supports player-coach autocoding loops with independent verification and approval gates. It provides MCP tools for deep analysis, code implementation, and session persistence.

Enables MCP clients to run dialectical reasoning workflows (thesis → antithesis → synthesis) and player-coach autocoding loops, including structured prompt generation, independent coach verification, and session persistence.

Enables MCP-enabled editors and LLM agents to perform dialectical thesis-antithesis-synthesis reasoning and run player-coach autocoding loops with independent verification. It supports deep analysis, structured prompt generation, and verified code implementation through dedicated MCP tools.

Enables MCP clients to perform dialectical reasoning through thesis, antithesis, and synthesis, and to run player-coach autocoding loops with independent verification for code implementations.

This MCP server enables MCP-enabled editors and agents to run dialectical reasoning for deep analysis and a player-coach autocoding loop for independently verified code implementation.

Enables MCP-enabled editors and agents to run dialectical reasoning workflows and a player-coach autocoding loop, with tools for structured prompts, independent verification, and session persistence.

Enables MCP-enabled editors and agents to run structured thesis–antithesis–synthesis analysis and player–coach verified coding loops, with tools for independent verification and session persistence.

Enables MCP-enabled editors and agents to run dialectical thesis-antithesis-synthesis reasoning and player-coach autocoding workflows, with optional backends for direct execution and independent coach verification.

Enables MCP-enabled editors and agents to generate and execute structured dialectical reasoning prompts and iterative player-coach code verification workflows, including optional independent coach sessions and autocoding state persistence.

Enables LLMs and MCP-enabled editors to run dialectical reasoning and player-coach autocoding workflows with independent verification, prompt generation, optional backends, and session state management.

Enables LLMs to perform dialectical reasoning (Thesis → Antithesis → Synthesis) and player-coach verified code synthesis through structured MCP tools. It helps catch blind spots and verify requirements by forcing models to argue with themselves before concluding.

Enables users to force LLMs through dialectical thesis→antithesis→synthesis workflows and player-coach autocoding loops, with session state and independent verification, through MCP tools.

Enables MCP-enabled editors to run thesis–antithesis–synthesis reasoning workflows and player-coach code verification loops, including session persistence and independent coach review.